Journal: iScience

Article Title: TRAIL-dependent apoptosis of peritoneal mesothelial cells by NK cells promotes ovarian cancer invasion

doi: 10.1016/j.isci.2023.108401

Figure Lengend Snippet: Ascites blocks NK cell degranulation but not TRAIL-dependent HPMC apoptosis (A and B) TAL were pre-cultured in RPMI/5% AB media or 100% ascites pool (+/− α-CD3 Ab stimulation) prior to co-culture with HPMC. (A) Apoptosis of HPMC is shown as percentage of annexin V+ cells after gating on CD45 − cells (n = 7 patients). (B) Degranulating NK cells in response to HPMC were measured via flow cytometry and depicted as percentage of CD335+/CD107a+ cells (n = 6 patients). (C and D) TAL were pretreated with α-TRAIL blocking Ab prior to HPMC co-culture. An irrelevant mouse IgG was included as control. Experiments were conducted with TAL cultured in RPMI/5% AB media (n = 11 patients) (C) and 100% ascites pool (n = 5 patients) (D). The amount of Annexin V+ HPMC was determined as described previously. (E) Schematic representation of co-culture experiments applying T cell CM for NK cell activation. CM were collected from CD3 + , CD3+/CD4+, and CD3+/CD8+ T cell subsets cultured in media +/− α-CD3 Ab stimulation. Purified NK cells were then stimulated with T cell CM prior to HPMC co-cultures. (F) The amount of apoptotic HPMC induced by NK cells activated with CM of CD3 + T cells was compared with CM of CD3+/CD4+ and CD3+/CD8+ T cells (n = 4 matched pairs of different patients). (G) Analysis of TRAIL signaling was performed by applying an α-TRAIL blocking Ab to NK cells stimulated with CD3 + T cell CM (α-CD3 Ab activated) prior to the co-culture with HPMC (n = 5 patients). An irrelevant mouse IgG was included as control. The mean is shown by horizontal bars or boxes; vertical error bars represent the standard deviation in A–D, F, and G. ∗ FDR < 0.05; ∗∗ FDR < 0.01; ∗∗∗ FDR < 0.001; determined by paired t test and Benjamini-Hochberg adjustment (ns, not significant).

Article Snippet: To further divide the CD3 + T cell fraction into CD3+/CD4+ T helper cells and CD3+/CD8+ cytotoxic T-cells, the preselected CD14 − lymphocytes were stained with APC-labelled anti-human CD8 antibody (Miltenyi Biotec), incubated with anti-APC microbeads and isolated via MACS.

Techniques: Cell Culture, Co-Culture Assay, Flow Cytometry, Blocking Assay, Control, Activation Assay, Purification, Standard Deviation

Journal: iScience

Article Title: TRAIL-dependent apoptosis of peritoneal mesothelial cells by NK cells promotes ovarian cancer invasion

doi: 10.1016/j.isci.2023.108401

Figure Lengend Snippet:

Article Snippet: To further divide the CD3 + T cell fraction into CD3+/CD4+ T helper cells and CD3+/CD8+ cytotoxic T-cells, the preselected CD14 − lymphocytes were stained with APC-labelled anti-human CD8 antibody (Miltenyi Biotec), incubated with anti-APC microbeads and isolated via MACS.

Techniques: Control, Recombinant, Polymer, Software

Journal: Nature communications

Article Title: Monoacylglycerol lipase regulates cannabinoid receptor 2-dependent macrophage activation and cancer progression.

doi: 10.1038/s41467-018-04999-8

Figure Lengend Snippet: Fig. 2 Macrophage MGLL inhibits tumor progression via CD8+T cells. a Six-week-old WT and TgMGLL mice were subcutaneously inoculated with MC-38 cells, and tumor volumes were measured dynamically. This test was performed four times. (n = 10) b The survival time of the MC-38 tumor-bearing mice described in a. The data represent the means ± s.e.ms. (n = 10, ***P < 0.005, Gehan-Breslow-Wilcoxon test). c The growth curves of the subcutaneous MC-38 tumors in Myeloid-mgll-KO mice and the control littermates (fl/fl). (n = 6). d The survival time of the MC-38 tumor-bearing mice described in c. The data represent the means ± s.e.ms. (n = 6, **P < 0.01, Gehan-Breslow-Wilcoxon test). e Incidence of metastasis in lungs and livers of the intravenous tumor model. The 6-week-old C57BL/6 WT or transgenic mice were intravenously injected with MC-38 colorectal cancer cells (5 × 106 cells per mouse) via the tail vein. The mice were sacrificed 2 weeks after tumor inoculation. The lungs and livers were dissected for pathological observation of tumor lesions. Data are means ± s.e.ms. and polled from four individual experiments. Each symbol represents an experimental replicate (n = 8~11). f–h The MC-38 tumor lesions in lungs of WT and TgMGLL mice, as described in e. Representative images of gross anatomy (f) and H&E staining (g) are displayed. The blue dotted lines indicate the tumor lesions. The relative tumor lesions were calculated (h). Scale bars, 200 μm. (n = 8~9). i Macrophage MGLL inhibited tumor growth in a Rag-1 dependent mannaer. MC-38 tumors were inoculated subcutaneously in WT, TgMGLL, Rag1KO or TgMGLL + Rag1KO mice and the tumor volumes were measured dynamically. (n = 5) j mRNA levels of IFNγ in CD8+ or CD4+ T cells that were isolated from the MC-38 tumors inoculated subcutaneously in WT or TgMGLL mice for 3 weeks. (n = 5). k Six-week-old WT or TgMGLL mice were subcutaneously inoculated with MC-38 cells and treated with anti-CD8 antibody or IgG as a control. The tumor volume was measured dynamically. (n = 10). l The survival time of the MC-38 tumor- bearing mice treated as described in k. The data represent the means ± s.e.ms. (n = 10, *P < 0.05, Gehan-Breslow-Wilcoxon test; ns, not significant). Data in a, c and e–k represent the means ± s.e.ms. (*P < 0.05, **P < 0.01, ***P < 0.005; student’s t-test; ns not significant)

Article Snippet: The MC-38 tumor-bearing mice were treated with monoclonal antibodies anti-CD8 (MAB116, Novus Biologicals) or IgG (MAB002, Novus Biologicals) as control.

Techniques: Control, Transgenic Assay, Injection, Staining, Isolation

Journal: Nature communications

Article Title: Monoacylglycerol lipase regulates cannabinoid receptor 2-dependent macrophage activation and cancer progression.

doi: 10.1038/s41467-018-04999-8

Figure Lengend Snippet: Fig. 6 MGLL-CB2 axis regulates tumor progression in mice. a Relative mRNA levels of TNFα, IL-6 and IFNγ in the CD8+ T cells in the MC-38 tumors inoculated subcutaneously in WT, TgMGLL, TgCB2, and TgMGLL+CB2 mice. The data represent the means ± s.e.ms. (n = 5, ***P < 0.005, Student’s t-test; ns not significant). b Six-week-old WT, TgMGLL, TgCB2, and TgMGLL+CB2 mice were subcutaneously inoculated with MC-38 cells, and the tumor volume was measured dynamically. This experiment was repeated three times. The data represent the means ± s.e.ms. (n = 10, **P < 0.01, ***P < 0.005, Student’s t-test). c The survival time of the MC-38 tumor-bearing mice. The mice were described in b. The data represent the means ± s.e.ms. (n = 10, **P < 0.01, ***P < 0.005, Gehan-Breslow-Wilcoxon test). d The incidence of tumor metastasis in MC-38 tumor model. Six-week-old WT, TgMGLL, TgCB2, and TgMGLL

Article Snippet: The MC-38 tumor-bearing mice were treated with monoclonal antibodies anti-CD8 (MAB116, Novus Biologicals) or IgG (MAB002, Novus Biologicals) as control.

Techniques:

Journal: NPJ Precision Oncology

Article Title: Clock pathway inhibitor overcomes tumor immune-exclusion via regulation of fibrocyte differentiation

doi: 10.1038/s41698-025-01066-6

Figure Lengend Snippet: A Double staining of CD8 and αSMA in mouse various subcutaneous tumors. Scale bar, 200 μm. The quantitative evaluation of sections from each tumor stained for B αSMA ( n = 12 fields from four mice per group) and C CD8 ( n = 12 fields from four mice per group). D The correlation between the number of CD8 + T cells and αSMA + area in each mouse tumor tissue. E Double staining of collagen 1 and CD45 to detect fibrocytes in mouse various subcutaneous tumors. Scale bar, 100 μm. F The quantitative evaluation of sections from each tumor stained for fibrocytes ( n = 12 fields from four mice per group). G The correlation between the number of fibrocytes and αSMA + area in each mouse tumor tissue. The correlation was estimated by Spearman’s correlation and a linear regression analysis (the best-fit line is indicated). Representative images of tumor sections resected from non-small cell lung carcinoma (NSCLC) patients stained to detect αSMA + cancer-associated fibroblasts ( H , αSMA + FAP + ) and fibrocytes ( I , CD45 + FSP-1 + ). Scale bar, 100 μm. J Quantitative evaluation of tumor-infiltrating fibrocytes (CD45 + FSP-1 + ) in NSCLC tumor tissue stained in Fig. 1H and I ( n = 50 patients). K Representative images of resected NSCLC tissue stained to detect CD8 + T cells and EpCAM + tumor cells. Scale bar, 100 μm. L Quantitative evaluation of tumor-infiltrating fibrocytes (CD45 + FSP-1 + ) in each NSCLC group divided by the immune phenotypes of tumor-infiltrating CD8 + T cells (inflamed, desert, and exclusion). * P < 0.05 by a one-way ANOVA. All data are shown as the mean ± s.e.m.

Article Snippet: CD8 + and CD4 + T cells, macrophages, and Tregs were identified using a rat anti-CD8a monoclonal antibody (1:150, 53-6.7; BD Pharmingen, Franklin Lakes, NJ, USA), rat anti-mouse CD4 (1:150, H129.19; BD Pharmingen), rat anti-mouse F4/80 monoclonal antibody (1:100 dilution, CI:A3-1; Abcam, Cambridge, MA, USA), and rabbit anti-Foxp3 polyclonal antibody (1:400 dilution; Novus Biologicals, Centennial, CO, USA), respectively.

Techniques: Double Staining, Staining

Journal: NPJ Precision Oncology

Article Title: Clock pathway inhibitor overcomes tumor immune-exclusion via regulation of fibrocyte differentiation

doi: 10.1038/s41698-025-01066-6

Figure Lengend Snippet: A The evaluation of the tumor volume of AB1-HA-bearing balb/c nude mice treated with KL001 from 5 days after tumor cell injection ( n = 6 per group). B Double staining of CD8 and αSMA in AB1-HA tumors from balb/c mice treated with or without KL001 (studied in Fig. ). Scale bar, 200 μm. C Representative images and D quantitative evaluation of sections from KL001-treated AB1-HA tumors stained for CD8, CD4, Foxp3, and F4/80 ( n = 15 fields from five mice per group). Scale bar, 200 μm. E Quantitative evaluation of sections from CLK8-treated AB1-HA tumors stained for CD8, CD4, Foxp3 ( n = 15 fields from five mice per group). * P < 0.05 by the Mann-Whitney U test. All data are shown as the mean ± s.e.m.

Article Snippet: CD8 + and CD4 + T cells, macrophages, and Tregs were identified using a rat anti-CD8a monoclonal antibody (1:150, 53-6.7; BD Pharmingen, Franklin Lakes, NJ, USA), rat anti-mouse CD4 (1:150, H129.19; BD Pharmingen), rat anti-mouse F4/80 monoclonal antibody (1:100 dilution, CI:A3-1; Abcam, Cambridge, MA, USA), and rabbit anti-Foxp3 polyclonal antibody (1:400 dilution; Novus Biologicals, Centennial, CO, USA), respectively.

Techniques: Injection, Double Staining, Staining, MANN-WHITNEY

Journal: NPJ Precision Oncology

Article Title: Clock pathway inhibitor overcomes tumor immune-exclusion via regulation of fibrocyte differentiation

doi: 10.1038/s41698-025-01066-6

Figure Lengend Snippet: A The evaluation of the tumor volume and B the representative image of tumor tissue of LLC-bearing mice treated with KL001 and/or αPD-L1 Ab (n = 7 per group). * P < 0.05 by a one-way ANOVA. C Representative images and D the quantitative evaluation of sections from LLC tumors stained for αSMA ( n = 15 fields from five mice per group). The tumors were harvested at day 21 from each group studied in Fig. 6A. Scale bar, 200 μm. Representative images and the quantitative evaluation of sections from LLC tumors stained for collagen 1 + CD45 + fibrocytes ( E, F ), CD8 + T cells ( G, H ) and CD4 + T cells ( I, J ). Scale bar, 100 μm. * P < 0.05 by a one-way ANOVA. K The evaluation of the tumor volume of AB1-HA-bearing mice treated with KL001 and/or αCTLA-4 Ab ( n = 6 per group). * P < 0.05 by a one-way ANOVA. The quantitative evaluation of sections from AB1-HA tumors ( n = 15 fields from five mice per group) stained for CD8 ( L ), CD4 ( M ), and Foxp3 ( N ). The tumors were harvested at day 18 from each group studied in Fig. 6K. * P < 0.05 by a one-way ANOVA. All data are shown as the mean ± s.e.m.

Article Snippet: CD8 + and CD4 + T cells, macrophages, and Tregs were identified using a rat anti-CD8a monoclonal antibody (1:150, 53-6.7; BD Pharmingen, Franklin Lakes, NJ, USA), rat anti-mouse CD4 (1:150, H129.19; BD Pharmingen), rat anti-mouse F4/80 monoclonal antibody (1:100 dilution, CI:A3-1; Abcam, Cambridge, MA, USA), and rabbit anti-Foxp3 polyclonal antibody (1:400 dilution; Novus Biologicals, Centennial, CO, USA), respectively.

Techniques: Staining

Journal: Translational Oncology

Article Title: Vaccine-induced ErbB (EGFR/HER2)-specific immunity in spontaneous canine cancer

doi: 10.1016/j.tranon.2021.101205

Figure Lengend Snippet: cEGFR p527 immunization mediates CD8 infiltration and antibody deposition into canine tumors. Postmortem bladder cancer tissue from a cEGFR p527 immune dog and tissue from healthy, non-cancerous bladder was examined for infiltration of CD8 T cells and endogenous antibody. A. CD8 isotype control. B. CD8 T cell staining (green). Arrows illustrate presence of CD8+ cells within the tumor tissue. C. & D. Antibody deposition in canine bladder tumor tissue from a cEGFR p527 immunized dog (two different fields). E. & F. Canine IgG deposition in normal canine bladder tissue (two different fields). Magnification is 40x (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.).

Article Snippet: CD8 T cells were stained in tissues using mouse anti-dog CD8 (MAB6709; R&D Systems, Minneapolis, MN), followed by goat anti-mouse IgG ( H + L ) Alexa Fluor 488 (A11017; Life Technologies, Eugene, OR) and counterstaining with DAPI (Molecular Probes; Eugene, OR).

Techniques: Control, Staining

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal TNBC samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Expressing, Staining, Two Tailed Test, Cell Counting, Flow Cytometry

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a Schematic graph demonstrating the coculture model. b Representative flow cytograms (upper panel) gated from human pan-T cell culture and quantification (lower panel, n = 3) of differentiated CD8 + T cell subtypes: Tn (naïve T cells), Tcm (central memory T cells), Tem (effector memory T cells), Teff (effector T cells). c Schematic graph demonstrating the normoxia (20% O 2 ) and hypoxia (1% O 2 ) culture condition of T cells coculturing with human TNBC cell line. d Heatmap of the differentially expressed genes (DEGs) in hypoxic cultured human T cells compared to normoxia group. DEGs were identified in edgeR (|logFC| > 1, adjusted P < 0.01). P values were adjusted using Benjamini–Hochberg method in edgeR. DEGs identified in the indicated GO gene clusters are marked in the heatmap. e GSEA analysis of human T cells in hypoxic versus normoxic conditions. Analysis was based on ranked logFC from edgeR. FDR and adjusted p value are shown in the graph. P values were adjusted using Benjamini–Hochberg method in GSEA analysis. f Flow cytometry quantifications of immune effector molecules and exhaustion markers in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions ( n = 4). g Representative flow cytograms of PD-1 and TIM-3 expression in CD8 + T cells gated from human pan-T cells culture. h Flow cytometric quantification of terminally exhausted T cells (PD-1 + TIM-3 + ) in CD8 + T cells gated from human pan-T cells culture ( n = 3). i Flow cytometric quant i fication of proliferating cells (Ki76 + ) in CD8 + and CD4 + T cells gated from human T cells cocultured with TNBC ( n = 3). All flow cytometry data ( b , f , h , and i ) are presented as the mean ± SD of samples from three to four donors. For all flow cytometry data, P values were determined by one-way ANOVA ( f , h ) or two-way ANOVA ( b ) with Turkey’s test, or paired two-tailed t -test ( i ). Raw RNA-seq data i s available in the GEO database with accession number GSE179885 . For the remaining data, source data are provided in Source Data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Cell Culture, Flow Cytometry, Expressing, Two Tailed Test, RNA Sequencing

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a RT-qPCR analysis assessing IFNG expression in T/NK cells in an epigenetic-drug screening. Both T cells and NK cells were cultured under 1% O 2 with indicated treatments. Data were presented as the log2 fold change of IFNG mRNA level normalized to vehicle control, mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). b , c Representative histograms (left panel) and flow cytometric quantifications (right panel) of IFNγ expression in human CD8 + T cells ( b n = 4) and NK cells ( c n = 3) with indicated treatments. Quantification data were presented as the mean ± SD of samples from three to four donors. P values were determined by two-way ANOVA with Turkey’s test. d ChIP-qPCR analysis of HDAC1, HDAC2, HDAC3, EZH2, and SUZ12 occupancy on IFNG promoter of human T cells. Four primers were designed to span the promoters of IFNG , with P1 at −1448 to −1354b, P2 at −707 to −628b, P3 at −257 to −171b, P4 at +350 to +461b, relative to TSS. For ChIP analysis of EZH2 and SUZ12 occupancy, RPL30 serves as the negative control and CCND2 as the positive control. e , f ChIP-qPCR analysis of H3K27ac and H3K27me3 enrichment on IFNG promoter of human T cells under indicated conditions. All ChIP-qPCR data ( d – f ) are presented as fold enrichment relative to IgG and expressed as mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). For ChIP-qPCR data of d , e , statistics were performed to analyze bindings of indicated markers across different sites in IFNG promoter ( RPL30 and CCND2 excluded) between hypoxia and normoxia. P values were determined by two-way ANOVA analysis. g RT-qPCR analysis of human T cell with indicated gene knockdown. Data were presented as the fold change of mRNA level normalized to the control group under normoxia (1% O2), mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). Source data are provided as a source data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Quantitative RT-PCR, Expressing, Drug discovery, Cell Culture, Control, ChIP-qPCR, Negative Control, Positive Control, Knockdown

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a ChIP-qPCR analysis of HIF1α and HIF2α occupancy on IFNG promoter in human T cells. VEGFA served as a positive control. b Co-immunoprecipitation shows the physical interaction between HDAC1 and HIF1α, and the interaction between HDAC1 and SUZ12 in human T cells. Data is representative of two independent experiments ( n = 2). c Representative western blot images ( n = 2) to demonstrate knockdown of HIF1α in human T cells. d ChIP-qPCR analysis of HDAC1 occupancy on IFNG promoter in human T cells. e ChIP-qPCR analysis of H3K27ac and H3K27me3 enrichment on IFNG promoter in human T cells with indicated treatments. All ChIP-qPCR data ( a , d , e ) are presented as fold enrichment relative to IgG and expressed as mean ± SD of technical triplicates, representative of two independent experiments ( n = 2). For ChIP-qPCR data of a , statistics were performed to analyze bindings of indicated markers across different sites in IFNG promoter ( VEGFA excluded) between hypoxia and normoxia. P values were determined by two-way ANOVA analysis. f Flow cytometric quantifications of IFNγ in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions. Data were presented as the mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Turkey’s test. g Representative western blot images ( n = 2) to demonstrate the inhibition of HIF1α level by indicated compounds in human T cells. h Representative histograms (left panel) and flow cytometric quantifications (right panel) of IFNγ expression in human CD8 + T cells with indicated treatments. Quantification data were presented as the mean ± SD of samples from four donors ( n = 4). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: ChIP-qPCR, Positive Control, Immunoprecipitation, Western Blot, Knockdown, Cell Culture, Inhibition, Expressing

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a Cell lysis of TNBC cells cocultured with human T cells from two different healthy donors. Human T cells were stimulated with TNBC cell lysate-primed DC cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA. b Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Data were representative of two independent experiments ( n = 2). c Cell lysis of TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data presented as mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Dunnett’s test. d Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data were representative of two independent experiments ( n = 2). e Cell lysis of TNBC cells cocultured with human T cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA with Dunnett’s test. f Flow cytometric quantifications of immune effector molecules in human CD8 + T cells cultured under the indicated conditions. Data were presented as the mean ± SD of samples from three donors ( n = 3). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Lysis, Western Blot, Cell Culture

Journal: Nature Communications

Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

doi: 10.1038/s41467-022-31764-9

Figure Lengend Snippet: a Schematic diagram showing the establishment of humanized mice (humice) with human immune system reconstituted in NIKO mice. The presence of human CD45 + cells, NK cells, CD4 + and CD8 + T cells in the mice’s peripheral system was validated by flow cytometry. b Primary LM2 tumor size in humice (control, n = 14; Keytruda, n = 14; ENT, n = 12; PX478, n = 14; ENT + Keytruda, n = 16; PX478 + Keytruda, n = 16) and NIKO mice (control, n = 10; ENT + Keytruda, n = 10; PX478 + Keytruda, n = 10), at Day 21 of treatments. c Lung metastasis of humice (control, n = 6; Keytruda, n = 6; ENT, n = 6; PX478, n = 6; ENT + Keytruda, n = 7; PX478 + Keytruda, n = 7) and NIKO mice (control, n = 5; ENT + Keytruda, n = 5; PX478 + Keytruda, n = 5) bearing LM2 tumors at Day 35 assessed by bioluminescence (BLI) measurement. d Representative bioluminescence (BLI) images showing the lung metastasis of humice and NIKO mice. e Flow cytometric analysis of LM2 tumors harvested from humanized mice. IFNγ, TNFα, and granzyme B expression was examined in tumor-infiltrating human CD8 + T cells and NK cells. N = 5 for each group. f Flow cytometry analysis of LM2 tumors harvested from humanized mice. Expressions of human PD-L1 and PD-L2 were examined in total living cells dissociated from LM2 tumors. N = 5 for each group. Quantification data of flow cytometry ( e , f ) are presented as a box and whiskers, with median values and whiskers of minimum and maximum values. Data for b and c were presented as mean ± SD . P values were determined by one-way ( e , f ) or two-way ( b , c ) ANOVA with Turkey’s test. Source data are provided as a source data file.

Article Snippet: The following antibodies were used for staining, anti-activated pimonidazole FITC antibody (Hypoxyprobe, CAT# HP2-200kit, dilution 1:200), anti-mouse HIF1α APC antibody (R&D Systems, CAT# IC1935A, dilution 1:50), anti-mouse CD3 BV421 antibody (BD Biosciences, CAT# 564008, dilution 1:100), anti-mouse CD45 Percp-Vio700 antibody (Miltenyi Biotec, CAT# 130-110-663, dilution 1:100) anti-mouse CD8 APC-Vio770 antibody (Miltenyi Biotec, CAT# 130-120-737, dilution 1:100), anti-mouse Nkp46 APC antibody (Miltenyi Biotec, CAT# 130-112-202, dilution 1:100), anti-mouse CD4 BV650 antibody (Biolegend, CAT# 563747, dilution 1:100), anti-mouse TIM-3 BV711 antibody (Biolegend, CAT# 119727, dilution 1:100), anti-mouse PD-1 PE-Vio770 (Miltenyi Biotec, CAT# 130-120-391, dilution 1:100), anti-mouse IFNγ PE (Miltenyi Biotec, CAT# 130-117-352, dilution 1:100), anti-mouse TNFα BV711 (BD Biosciences, CAT# 563944, dilution 1:100), anti-mouse/human granzyme B FITC (Miltenyi Biotec, Cat#130-118-430, dilution 1:100), anti-mouse PD-L1 BV786 antibody (BD Biosciences, CAT# 741014, dilution 1:100), anti-mouse PD-L2 FITC antibody (Miltenyi Biotec, Cat# 130-102-222, dilution 1:100), anti-human CD45 FITC antibody (BD Biosciences, CAT# 304006, dilution 1:100), anti-human CD3 PE antibody (Biolegend, CAT# 300308, dilution 1:100) anti-human CD8 APC-Cy7 antibody (BD Biosciences, CAT# 557834, dilution 1:100), anti-human CD56 BV711 antibody (Biolegend, CAT# 318336, dilution 1:100), anti-human CD4 APC antibody (Biolegend, CAT# 300514, dilution 1:100), anti-human IFNγ BV785 (Biolegend, CAT# 502542, dilution 1:100), anti-human TNFα BV650 (Biolegend, CAT# 502398, dilution 1:100), anti-human Granzyme B BV421 (BD Biosciences, Cat# 563389, dilution 1:100), anti-human PD-L1 PE-Cy7 antibody (Biolegend, CAT# 374506, dilution 1:100), anti-human PD-L2 PE antibody (Miltenyi Biotec, CAT# 130-098-530, dilution 1:100).

Techniques: Flow Cytometry, Control, Expressing

Journal: Scientific reports

Article Title: Gut microbiota induces hepatic steatosis by modulating the T cells balance in high fructose diet mice.

doi: 10.1038/s41598-023-33806-8

Figure Lengend Snippet: Figure 6. HF diet causes gut inflammation. We gated on mesenteric lymph nodes lymphocytes at 4 weeks and measured the MFI expression level of IFN-γ (A) in CD3+CD4+T cells and Foxp3 (B) in Treg cells (CD25+Foxp3+) by flow cytometry. Colon tissues were examined histologically after (C) H&E staining and (D) scored for inflammation and epithelial injury. Bar: 100 µm. Immunohistochemistry for 4-week jejunums, with primary antibodies against (E) CD4 and (G) CD8. Bar: 50 µm. Quantification of (F) CD4+ and (H) CD8+ T cells. The student’s t-test was used to determine statistical significance. *p < 0.05; **p < 0.01, ***p < 0.001.

Article Snippet: Then, sections were incubated with anti-mouse CD4 (1:200, Novus, cat. NBP1-19371), anti-mouse CD8 (1:100, Novus, cat. NB200-578), anti-mouse UCP1 (1:100, ABclonal, cat. no A5857), and anti-mouse PGC-1α (1: 200, BOSTER, cat. no BA2816-1), overnight at 4 °C.

Techniques: Expressing, Flow Cytometry, Staining, Immunohistochemistry

Journal: Scientific reports

Article Title: Gut microbiota induces hepatic steatosis by modulating the T cells balance in high fructose diet mice.

doi: 10.1038/s41598-023-33806-8

Figure Lengend Snippet: Figure 7. HF Diet Induces Liver Inflammation. The percentage of (A) CD3+CD4+, (B) CD3+CD8+ T cells and (C) M1 macrophages (F4/80+CD11c+) in liver mononuclear cells were detected by flow cytometry at 8 weeks. The cells were analyzed by FACS. (D) mRNA expression levels of the TNF-α, IL-6, and IL-1β were measured by RT-qPCR at 8 weeks. (E) Liver MDA activity was measured at 4, 8 and 12 weeks. (F) mRNA expression levels of the FAS, ACC1, CD36, ChREBP, and SREBP1c were measured by RT-qPCR. (G) Representative images of Western blots for lipid metabolism (FASN, ACC1, CD36, ChREBP, and SREBP1c). (H) Gray-scale value analysis of FASN, ACC1, CD36, ChREBP, and SREBP1c. The student’s t-test was used to determine statistical significance. *p < 0.05; **p < 0.01; ***p < 0.001.

Article Snippet: Then, sections were incubated with anti-mouse CD4 (1:200, Novus, cat. NBP1-19371), anti-mouse CD8 (1:100, Novus, cat. NB200-578), anti-mouse UCP1 (1:100, ABclonal, cat. no A5857), and anti-mouse PGC-1α (1: 200, BOSTER, cat. no BA2816-1), overnight at 4 °C.

Techniques: Flow Cytometry, Expressing, Quantitative RT-PCR, Activity Assay, Western Blot

Journal: Scientific reports

Article Title: Gut microbiota induces hepatic steatosis by modulating the T cells balance in high fructose diet mice.

doi: 10.1038/s41598-023-33806-8

Figure Lengend Snippet: Figure 8. The effect of FMT on insulin resistance, liver histology, and immune homeostasis imbalance in HF-fed mice. (A) Glucose tolerance test (left) and glucose tolerance test calculated AUC (right) measured after FMT treatment. (B) Insulin tolerance test (left) and insulin tolerance test calculated AUC (right) measured after FMT treatment. Representative images of liver stained with (C) H&E and (D) Oil-red-O. Bar: 50 µm. (E) Flow cytometry analysis of CD3+CD4+ T cells, CD3+CD8+ T cells, and M1 macrophages (F4/80+CD11c+) in liver. (F) Flow cytometry analysis of the MFI expression level of Th1 cells (CD4+IFN-γ+) and Treg cells (CD25+Foxp3+) in MLN. The levels of TNF-α (G), IL-1β (H) and IL-6 (I) in serum were determined using ELISA. One-way analysis of variance (ANOVA) test was used for determining statistical significance. *p < 0.05; **p < 0.01.

Article Snippet: Then, sections were incubated with anti-mouse CD4 (1:200, Novus, cat. NBP1-19371), anti-mouse CD8 (1:100, Novus, cat. NB200-578), anti-mouse UCP1 (1:100, ABclonal, cat. no A5857), and anti-mouse PGC-1α (1: 200, BOSTER, cat. no BA2816-1), overnight at 4 °C.

Techniques: Staining, Flow Cytometry, Expressing, Enzyme-linked Immunosorbent Assay

Journal: Journal of experimental & clinical cancer research : CR

Article Title: Regnase-1 downregulation promotes pancreatic cancer through myeloid-derived suppressor cell-mediated evasion of anticancer immunity.

doi: 10.1186/s13046-023-02831-w

Figure Lengend Snippet: Fig. 6 Suppression of CTLs by CD11b+ MDSCs is responsible for the acceleration of tumor progression by Regnase-1 downregulation. A-D Evaluation of phenotypes of orthotopic syngeneic tumors of WT or Regnase-1 KO murine pancreatic cancer cells. Representative macro images of pancreatic tumors (A). Relative mRNA levels of Cd8a, Ifng, Fasl, and Gzmb (B) (N = 6 per group). Representative images of HE (C, left panel) and CD8a immunostaining (C, right panel) and the number of CD8-positive cells (C, right) (N = 6 per group). Dot plots of CD3+CD8+ cells evaluated by flow cytometry (D, left) and the proportion of CD8 + cells among CD45+ cells (D, right) (N = 3 per group). E–H Evaluation of phenotypes of orthotopic syngeneic tumors of WT or Regnase-1-KO murine pancreatic cancer cells with or without depletion of CD8+ cells upon anti-CD8a antibody or IgG treatment. Experimental schematic (E). Dot plots of CD3+ and CD8.+ cells in WT or Regnase-1-KO syngeneic tumors upon anti-CD8a antibody or IgG treatment evaluated by flow cytometry (F). Tumor weights (G) (N = 6 per group). The relative mRNA levels of Cd8a, Ifng, Fasl, and Gzmb (H) (N = 6 per group). Student’s t test was used to evaluate differences between 2 groups. One-way ANOVA with Tukey’s post hoc test was used to compare differences among 4 groups. *P < 0.05, scale bars: 100 μm (insets)

Article Snippet: BE0061, a fully neutralizing mAb recognizing CD8a, and control IgG were obtained from Bioxcell.

Techniques: Immunostaining, Flow Cytometry